A new tool for prediction of phase transitions in liquid crystals

Abstract

In this article, fundamental analysis ofC37H59NO2, C37H59NO3, and C41H67NO2 from among liquid crystals is conducted viaDifferential Thermal Analysis (DTA) device in high pressure environment. Phasetransition temperature, entalphy, and entrophy of these liquid crystals areobserved. In addition, an Artificial Neural Network (ANN), which is a method ofArtificial Intelligence, is modeled. Then, output values of ANN model and DTAdevice are compared, and correlation between them is demonstrated. For thevalues which are not measured with DTA device, outputs are produced by ANNmodel. In this article, three layered feed-forward back propagation ANN modelis used. With this approach, it is proved that, ANN is a resourceful method forprediction in studies conducted about phase transition.

Keywords

• diferansiyel termal analiz (dta)
• yapay sinir ağlarını (ysa)
• kritik sıcaklık
• entalpi
• sıvı kristal
• differential thermal analyse (dta)
• artificial neural network (ann)
• critical point
• enthalpy
• liquid crystal